How coaching can help leaders rethink familiar approaches, develop future capabilities, and turn AI's potential into organizational results.

‍

AI enables employees to analyze problems, prepare proposals, respond to customers, and develop recommendations in a fraction of the time it used to take.

‍

However, do we understand what improved?

• Individual productivity, certainly. 
• Are decisions better? 
• Are customers receiving greater value? 
• Are people collaborating more effectively?
• Is the organization becoming stronger?

‍

An organization can become considerably faster without becoming more effective. It can also become more dependent on technology without developing the expertise to question its conclusions.

‍

AI's impact reaches well beyond technology. It challenges how leaders think, develop people, make decisions, and define organizational success.

‍

AI changes what people need to learn, how they learn it, and how organizations convert individual contributions into collective results. That is where coaching can substantially raise its value.

‍

The opportunity extends beyond helping executives understand AI. Coaching can help them challenge assumptions, change behaviors, and develop the people and organizational practices needed to succeed in an increasingly competitive environment.

‍

Having the Answers Is No Longer Enough

‍

Experience and expertise remain valuable. AI changes when it make a difference and how leaders apply it..

‍

When sophisticated analysis is at our fingertips, the ability to obtain answers may become less distinctive. Knowing which questions to ask, assumptions to challenge, and consequences to consider becomes increasingly important.

‍

An executive reviewing an AI-generated recommendation might ask: 

• What problem is it we actually trying to solve? 
• What information is missing? 
• What alternatives deserve consideration? 
• What consequences elsewhere in the organization require attention?

‍

Equally important, do people feel comfortable challenging the proposed decision? Leaders whose success has rested on expertise and decisive answers may find that familiar strengths require different applications. Creating an environment that welcomes questioning may require them to change their own behavior.

‍

The opportunity is to move beyond knowing the answers to creating an environment where people ask better questions, challenge conclusions, and make sound decisions together.

‍

An executive may genuinely welcome disagreement while routinely dismissing recommendations that conflict with personal experience. Another may encourage independent thinking while still making every consequential decision.

‍

The challenge and opportunity lie in what leaders actually do, how others experience their behavior, and what needs to change.

‍

Developing Tomorrow's Expertise without Yesterday's Experience

‍

One of AI's most consequential changes involves how people develop expertise and judgment.

‍

Historically, employees built these capabilities over years of experience, progressively handling more complex assignments and responsibilities.

‍

AI can now perform portions of the work through which people traditionally learned. Consider a financial analyst who uses AI to prepare an excellent forecast. Does the analyst:

• Understand the underlying assumptions, 
• Recognize weaknesses, and 
• Know when to challenge the conclusions?

‍

Have the judgment to evaluate the work of others as responsibilities expand?

‍

When AI changes or eliminates the experiences through which people traditionally developed expertise, how will organizations develop the judgment and leadership they need tomorrow?

‍

In many cases, AI can also accelerate learning. Employees can:

• Explore alternatives, 
• Practice unfamiliar situations, 
• Receive immediate feedback, and 
• Access expertise that used to take years.

‍

Organizations can choose to use these capabilities to develop people differently:

• Leaders can redesign developmental experiences rather than preserving familiar assignments.
•  Employees might develop initial recommendations, use AI to challenge their reasoning, evaluate alternatives, and explain their conclusions.

‍

Leaders may need to reconsider what they expect, encourage, and reward:

• Are they rewarding polished answers or sound reasoning? 
• Do they welcome employees who challenge both their decisions  and  AI-generated recommendations? 
• Are they developing independent judgment or creating greater dependence on technology?

‍

These choices clearly affect today's performance. They significantly influence:

• Succession planning, 
• Organizational resilience, and the
• Quality of future leadership.

‍

The Challenge is to achieve greater productivity today while deliberately developing the expertise and judgment needed tomorrow.

‍

From Individual Productivity to Collective Strength

‍

AI can accelerate work in one part of an organization faster than other parts can adapt.

‍

Consider a sales team using AI to generate more proposals and identify new opportunities. Sales productivity increases. Yet operations cannot fulfill the additional commitments, and customer satisfaction declines. Each function may meet its own performance objectives while the organization produces disappointing results.

‍

The leadership question is how to connect decisions, incentives, people, and processes so that greater productivity creates organizational value.

‍

That may require leaders to challenge familiar assumptions:

• Are they rewarding volume when the organization needs greater value?
• Are they encouraging collaboration while measuring teams independently?
• Are they welcoming questions while rewarding employees who deliver the fastest answers?

‍

Leaders who coach and develop their employees can help them test their reasoning, understand broader consequences, and learn from results.

‍

Professional executive coaches play a complementary role. They can help leaders recognize how their own assumptions, behaviors, and management practices influence organizational performance.AI can support both forms of coaching through analysis, practice, and timely feedback.

‍

Professional coaching can help leaders challenge the assumptions and behaviors that limit their effectiveness. Combined with AI, candid feedback, and practical experience, that work can help develop more capable people and stronger organizations over time.

‍

Greater Autonomy Requires Clearer Accountability

‍

AI is moving beyond recommending actions to executing increasingly complex work. That changes how leaders must think about authority, oversight, and accountability. Then ask:

• Which decisions should AI execute? 
• What boundaries should govern its actions? 
• Who evaluates the outcomes? 
• Who can intervene when circumstances change?  
• Who remains accountable when something goes wrong?

‍

Automating work does not mean automating away responsibility.

‍

Appropriate oversight requires leaders to:

• Establish decision authority, 
• Define operating boundaries, 
• Monitor meaningful risks,
•  Maintain clear human accountability.

‍

Coaching can help leaders examine another difficult tension:

• Are they resisting appropriate delegation because familiar sources of authority feel threatened? Or 
• Are they embracing automation without sufficiently understanding its consequences?

‍

The objective is to use AI's expanding capabilities while retaining the judgment, accountability, and control needed to protect the organization and the people it serves, without unnecessarily limiting organizational effectiveness.

‍

The Questions Leaders Need to Ask Themselves

‍

AI’s future remains uncertain. The need to challenge familiar assumptions and prepare people does not. 

• What are we continuing to do simply because it has worked in the past? How might AI change the assumptions underlying our strategies, processes, and leadership practices?
• Are we developing capability or simply increasing output? Can our employees explain, challenge, and improve AI-assisted work?
• Where are individual improvements failing to produce organizational results? What must change in our decisions, incentives, relationships, or workflows?
• What will tomorrow's leaders need to know? How are we developing their judgment and expertise as traditional learning experiences change?
• What must change in our own leadership? Are we willing to challenge familiar practices, reconsider our behavior, and act on what we discover?

‍

These questions apply to organizations of every size. The resources and circumstances differ; the leadership challenge remains.

‍

Building Today's Results and Tomorrow's Strength

‍

AI can accelerate work much faster than organizations can develop judgment, trust, and new ways of working. Closing that gap requires leaders to rethink what made them successful, challenge familiar practices, and develop capabilities they may not yet fully understand.

‍

Consider this question:

Five years from now, will AI have made our organizations faster and more productive?  Or will we also have developed the people, judgment, leadership, and collective capabilities needed to be fundamentally stronger?

‍

The choices leaders make today will help determine the answer.